5. RESULTS
In this paragraph we would like to generically emphasize on the
results of applying tracking technologies in city centres and on
households by TU Delft for several years now.
The first conclusion is that the different sets of data result into a
rich source for data mining. Not only can the spatio-temporal
information be analyzed and evaluated (A1) within the framework
of the city itself, but also (A2) externally by comparing
the results of different cities for specific aspects. In this case the
context is different: different street pattern, different location of
attractions, different landmarks.
A second crossover can be made by (B) comparing the results
of different user groups within one city. Here the frame is equal
(same city centre), only a variation of users has been followed.
Finally, in the High-rise project three distinctions can be made
based on the building and on the participants: (C1) inhabitants
of high-rise versus ground allocated housing; (C2) comparison
between towers based on spatial aspects (the frame) and (C3)
comparison between different lifestyle groups, e.g. depending
on age, income, rental or owned apartment, duration of inhabitance.
6. CONCLUSIONS & FUTURE SCOPE
In our opinion GPS-tracking technology can contribute to traditional
mapping, analysis and collection techniques. GPStracking
is a complementary method, providing more accurate
and reliable information about activity patterns of humans. Nevertheless,
there are also some limitations: collection, processing
and the significance of results.